New AVO expression and attribute based on scaled Poisson reflectivity

Farfour, Mohammed

doi:10.1016/j.jappgeo.2021.104255

Cited by 7 publications

(1 citation statement)

References 21 publications

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“…Moreover, an approach based on AVO characteristics has advantages in detecting special lithology and fluids. Pre-stack seismic analysis highlights special lithological information better than post-stack seismic analysis [18][19][20][21][22][23][24][25]. Therefore, it is also necessary to investigate the reflection mechanism of coal seams so that the influence of coal seams on reservoir prediction can be reduced.…”

Section: Introductionmentioning

confidence: 99%

Application of Far-Gather Seismic Attributes in Suppressing the Interference of Coal Beds in Reservoir Prediction

Mao¹,

Yan

Zhang³

et al. 2022

Energies

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The sandstone reservoir of the Pinghu Formation in the Xihu Depression, East China Sea is characterized by great depth, small thickness, radical facies change and a widespread coal bed. It is difficult to describe the reservoir accurately using conventional reservoir prediction methods. In order to analyze the influence of coal-bearing strata on the prediction of the mid-low thickness sandstone reservoir, the seismic response of different sandstone–coal stratigraphic assemblages was simulated by seismic forward modeling. The modeling result indicates that the post-stack seismic response is dominated by coal bed, whereas the response of sandstone can hardly be recognized. In contrast, the difference between the pre-stack AVO (amplitude versus offset) response characteristics of coal seams and gas-bearing sandstones has been clarified based on the statistics pertaining to AVO characteristics of drilled wells. Therefore, we propose a method to reduce the interference of coal beds in sandstone reservoir prediction using far-gather seismic information. This method has significantly improved the accuracy of reservoir prediction and sand description in sand–coal coupled environments and has been applied successfully in the exploration of coal-rich strata in the Pingbei slope belt, Xihu Depression.

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